Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. - Fengli Xu; Yuyun Lin 001; Jiaxin Huang 001; Di Wu 002; Hongzhi Shi; Jeungeun Song 002; Yong Li 008 (IEEE Trans. Serv. Comput., 2016)

On the Understanding of Interdependency of Mobile App Usage. - Jiaxin Huang 001; Fengli Xu; Yujun Lin 001; Yong Li 008 (MASS, 2017)

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2018)

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. - Yujun Lin 001; Song Han 003; Huizi Mao; Yu Wang 002; Bill Dally (ICLR (Poster), 2018)

HAQ: Hardware-Aware Automated Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CoRR, 2018)

HAQ: Hardware-Aware Automated Quantization With Mixed Precision. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CVPR, 2019)

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. - Zhenhua Zhu; Hanbo Sun; Yujun Lin 001; Guohao Dai; Lixue Xia; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2019)

A Fine-Grained Sparse Accelerator for Multi-Precision DNN. - Shulin Zeng; Yujun Lin 001; Shuang Liang 010; Junlong Kang; Dongliang Xie; Yi Shan; Song Han 003; Yu Wang 002; Huazhong Yang (FPGA, 2019)

Point-Voxel CNN for Efficient 3D Deep Learning. - Zhijian Liu; Haotian Tang; Yujun Lin 001; Song Han 003 (NeurIPS, 2019)

Design Automation for Efficient Deep Learning Computing. - Song Han 003; Han Cai; Ligeng Zhu; Ji Lin 002; Kuan Wang; Zhijian Liu; Yujun Lin 001 (CoRR, 2019)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Yujun Lin 001; Song Han 003 (CVPR, 2020)

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. - Haotian Tang; Zhijian Liu; Shengyu Zhao; Yujun Lin 001; Ji Lin 002; Hanrui Wang 002; Song Han 003 (ECCV (28), 2020)

Lite Transformer with Long-Short Range Attention. - Zhanghao Wu; Zhijian Liu; Ji Lin 002; Yujun Lin 001; Song Han 003 (ICLR, 2020)

MCUNet: Tiny Deep Learning on IoT Devices. - Ji Lin 002; Wei-Ming Chen; Yujun Lin 001; John Cohn; Chuang Gan 001; Song Han 003 (NeurIPS, 2020)

Hardware-Centric AutoML for Mixed-Precision Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (Int. J. Comput. Vis., 2020)

AutoML for Architecting Efficient and Specialized Neural Networks. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Kuan Wang; Tianzhe Wang; Ligeng Zhu; Song Han 003 (IEEE Micro, 2020)

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

NAAS: Neural Accelerator Architecture Search. - Yujun Lin 001; Mengtian Yang; Song Han 003 (DAC, 2021)

PointAcc: Efficient Point Cloud Accelerator. - Yujun Lin 001; Zhekai Zhang; Haotian Tang; Hanrui Wang 002; Song Han 003 (MICRO, 2021)

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. - Ligeng Zhu; Hongzhou Lin; Yao Lu 006; Yujun Lin 001; Song Han 003 (NeurIPS, 2021)

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. - Hanrui Wang 002; Yongshan Ding 001; Jiaqi Gu 002; Yujun Lin 001; David Z. Pan; Frederic T. Chong; Song Han 003 (HPCA, 2022)

TorchSparse: Efficient Point Cloud Inference Engine. - Haotian Tang; Zhijian Liu; Xiuyu Li; Yujun Lin 001; Song Han 003 (MLSys, 2022)

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Haotian Tang; Hanrui Wang 002; Ligeng Zhu; Song Han 003 (ACM Trans. Design Autom. Electr. Syst., 2022)

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. - Yujun Lin 001; Haotian Tang; Shang Yang; Zhekai Zhang; Guangxuan Xiao; Chuang Gan 001; Song Han 003 (CoRR, 2024)

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (CoRR, 2024)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 003 (CoRR, 2024)

Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. - Zhijian Liu; Haotian Tang; Yujun Lin 001; Song Han 003 (World Sci. Annu. Rev. Artif. Intell., 2024)

LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications. - Yujun Lin 001; Zhekai Zhang; Song Han 003 (HPCA, 2025)

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 001 (ICLR, 2025)

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (ICLR, 2025)

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. - Enze Xie; Junsong Chen; Yuyang Zhao; Jincheng Yu; Ligeng Zhu; Yujun Lin 001; Zhekai Zhang; Muyang Li; Junyu Chen 003; Han Cai; Bingchen Liu; Daquan Zhou; et al. (CoRR, 2025)

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. - Haocheng Xi; Shuo Yang; Yilong Zhao; Chenfeng Xu; Muyang Li; Xiuyu Li; Yujun Lin 001; Han Cai; Jintao Zhang; Dacheng Li; Jianfei Chen; Ion Stoica; et al. (CoRR, 2025)

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. - Shang Yang; Junxian Guo; Haotian Tang; Qinghao Hu 004; Guangxuan Xiao; Jiaming Tang; Yujun Lin 001; Zhijian Liu; Yao Lu 006; Song Han 003 (CoRR, 2025)

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation. - Shuo Yang; Haocheng Xi; Yilong Zhao; Muyang Li; Jintao Zhang; Han Cai; Yujun Lin 001; Xiuyu Li; Chenfeng Xu; Kelly Peng; Jianfei Chen; Song Han 003; et al. (CoRR, 2025)

Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation. - Xingyang Li; Muyang Li; Tianle Cai; Haocheng Xi; Shuo Yang; Yujun Lin 001; Lvmin Zhang; Songlin Yang; Jinbo Hu; Kelly Peng; Maneesh Agrawala; Ion Stoica; et al. (CoRR, 2025)